{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}SA Study 1 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study1_Murphy/Logs/sa_study1_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2020, 15:19:12
{txt}
{com}. 
. ********************************    Table 1A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. outreg2 using descriptive_study1.doc, replace sum(log) ///
> keep(female high_ed age hisp black asian partisan rep_other_dummy dem_other_dummy)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}        507    39.05325    12.85904         19         83
{txt}{space 9}pid {c |}{res}        507    2.142012    .7722652          1          4
{txt}{space 9}rep {c |}{res}        110    1.527273    .5015406          1          2
{txt}{space 9}dem {c |}{res}        225    1.462222    .4996824          1          2
{txt}{space 9}ind {c |}{res}        172    2.209302     .789052          1          3
{txt}{hline 13}{c +}{hline 57}
{space 8}news {c |}{res}        507    1.832347     .768384          1          4
{txt}{space 4}reptherm {c |}{res}        507    30.20118     27.6659          0        100
{txt}{space 4}demtherm {c |}{res}        507    48.95266    28.67119          0        100
{txt}{space 6}typrep {c |}{res}        507    2.183432    .8220538          1          4
{txt}{space 6}typpol {c |}{res}        507    2.029586     .712059          1          4
{txt}{hline 13}{c +}{hline 57}
{space 7}fknws {c |}{res}        506    1.875494     .727339          1          4
{txt}{space 9}gen {c |}{res}        507    1.467456    .4994325          1          2
{txt}{space 9}edu {c |}{res}        507    4.422091    .9531232          1          6
{txt}{space 6}etid_1 {c |}{res}        415           1           0          1          1
{txt}{space 6}etid_2 {c |}{res}         30           1           0          1          1
{txt}{hline 13}{c +}{hline 57}
{space 6}etid_3 {c |}{res}         42           1           0          1          1
{txt}{space 6}etid_4 {c |}{res}          5           1           0          1          1
{txt}{space 6}etid_5 {c |}{res}         27           1           0          1          1
{txt}{space 6}etid_6 {c |}{res}          5           1           0          1          1
{txt}block2_do_~3 {c |}{res}        173           1           0          1          1
{txt}{hline 13}{c +}{hline 57}
block2_do_~2 {c |}{res}        170           1           0          1          1
{txt}block2_do_~1 {c |}{res}        164           1           0          1          1
{txt}{space 4}democrat {c |}{res}        432    .6550926    .4758892          0          1
{txt}{space 2}republican {c |}{res}        432    .3449074    .4758892          0          1
{txt}dem_other_~y {c |}{res}        507    .5581854    .4970934          0          1
{txt}{hline 13}{c +}{hline 57}
rep_other_~y {c |}{res}        507    .2938856    .4559901          0          1
{txt}{space 8}pid7 {c |}{res}        507    3.372781    2.038437          1          7
{txt}{space 4}partisan {c |}{res}        507     .852071    .3553802          0          1
{txt}{space 6}female {c |}{res}        507    .4674556    .4994325          0          1
{txt}{space 8}hisp {c |}{res}        507    .0532544    .2247622          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}black {c |}{res}        507    .0591716    .2361786          0          1
{txt}{space 7}asian {c |}{res}        507    .0828402    .2759128          0          1
{txt}{space 7}white {c |}{res}        507    .8185404    .3857791          0          1
{txt}{space 7}t2vt1 {c |}{res}        334     .508982    .5006694          0          1
{txt}{space 7}t3vt1 {c |}{res}        337    .5133531    .5005649          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}t3vt2 {c |}{res}        343    .5043732    .5007113          0          1
{txt}{space 5}expcond {c |}{res}        507    2.017751    .8158996          1          3
{txt}pittsburgh~m {c |}{res}        507    .0059172    .0767709          0          1
{txt}{space 2}vclosenews {c |}{res}        507     .357002    .4795886          0          1
{txt}{space 5}high_ed {c |}{res}        507    .4852071    .5002747          0          1
{txt}{hline 13}{c +}{hline 57}
duplicate_ip {c |}{res}        507    .0493097     .294103          0          3
{txt}duplicate_~g {c |}{res}        507    .1420118    .4905735          0          3

Following variable is string, not included:  
responseid  
{txt}{stata `"shellout using `"descriptive_study1.doc"'"':descriptive_study1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "descriptive_study1.txt""':seeout}

{com}. 
. *****************************   Table 4A (Col 1)   *****************************
. 
. mlogit expcond female edu black hisp asian age news dem_other_dummy rep_other_dummy, b(1)

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -556.8718}  
Iteration 1:{space 3}log likelihood = {res:-551.26432}  
Iteration 2:{space 3}log likelihood = {res:-551.21422}  
Iteration 3:{space 3}log likelihood = {res: -551.2142}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       507
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}     11.32
{txt}{col 49}Prob > chi2{col 67}= {res}    0.8805
{txt}Log likelihood = {res} -551.2142{txt}{col 49}Pseudo R2{col 67}= {res}    0.0102

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        expcond{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2}-.1712014{col 29}{space 2} .2261785{col 40}{space 1}   -0.76{col 49}{space 3}0.449{col 57}{space 4}-.6145031{col 70}{space 3} .2721004
{txt}{space 12}edu {c |}{col 17}{res}{space 2} .0659611{col 29}{space 2} .1200198{col 40}{space 1}    0.55{col 49}{space 3}0.583{col 57}{space 4}-.1692734{col 70}{space 3} .3011956
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.9125632{col 29}{space 2} .5134812{col 40}{space 1}   -1.78{col 49}{space 3}0.076{col 57}{space 4}-1.918968{col 70}{space 3} .0938415
{txt}{space 11}hisp {c |}{col 17}{res}{space 2}-.5240209{col 29}{space 2} .5473601{col 40}{space 1}   -0.96{col 49}{space 3}0.338{col 57}{space 4}-1.596827{col 70}{space 3} .5487851
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.0543538{col 29}{space 2} .4017699{col 40}{space 1}   -0.14{col 49}{space 3}0.892{col 57}{space 4}-.8418083{col 70}{space 3} .7331008
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0037477{col 29}{space 2} .0089282{col 40}{space 1}   -0.42{col 49}{space 3}0.675{col 57}{space 4}-.0212467{col 70}{space 3} .0137512
{txt}{space 11}news {c |}{col 17}{res}{space 2} .2528597{col 29}{space 2} .1590749{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4}-.0589214{col 70}{space 3} .5646409
{txt}dem_other_dummy {c |}{col 17}{res}{space 2} .1914459{col 29}{space 2} .3435178{col 40}{space 1}    0.56{col 49}{space 3}0.577{col 57}{space 4}-.4818365{col 70}{space 3} .8647284
{txt}rep_other_dummy {c |}{col 17}{res}{space 2} .3227908{col 29}{space 2} .3720678{col 40}{space 1}    0.87{col 49}{space 3}0.386{col 57}{space 4}-.4064487{col 70}{space 3}  1.05203
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.6152591{col 29}{space 2} .8151369{col 40}{space 1}   -0.75{col 49}{space 3}0.450{col 57}{space 4}-2.212898{col 70}{space 3} .9823798
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2}-.1149258{col 29}{space 2} .2247587{col 40}{space 1}   -0.51{col 49}{space 3}0.609{col 57}{space 4}-.5554449{col 70}{space 3} .3255932
{txt}{space 12}edu {c |}{col 17}{res}{space 2} .0021192{col 29}{space 2} .1193094{col 40}{space 1}    0.02{col 49}{space 3}0.986{col 57}{space 4}-.2317229{col 70}{space 3} .2359613
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.2949951{col 29}{space 2} .4307375{col 40}{space 1}   -0.68{col 49}{space 3}0.493{col 57}{space 4}-1.139225{col 70}{space 3} .5492349
{txt}{space 11}hisp {c |}{col 17}{res}{space 2} .1960617{col 29}{space 2} .4614384{col 40}{space 1}    0.42{col 49}{space 3}0.671{col 57}{space 4} -.708341{col 70}{space 3} 1.100464
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.4693714{col 29}{space 2} .4405154{col 40}{space 1}   -1.07{col 49}{space 3}0.287{col 57}{space 4}-1.332766{col 70}{space 3} .3940229
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0016605{col 29}{space 2} .0088272{col 40}{space 1}   -0.19{col 49}{space 3}0.851{col 57}{space 4}-.0189616{col 70}{space 3} .0156406
{txt}{space 11}news {c |}{col 17}{res}{space 2} .1964521{col 29}{space 2} .1573974{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4}-.1120411{col 70}{space 3} .5049453
{txt}dem_other_dummy {c |}{col 17}{res}{space 2}-.0418384{col 29}{space 2} .3280131{col 40}{space 1}   -0.13{col 49}{space 3}0.899{col 57}{space 4}-.6847322{col 70}{space 3} .6010555
{txt}rep_other_dummy {c |}{col 17}{res}{space 2} .0029492{col 29}{space 2} .3586445{col 40}{space 1}    0.01{col 49}{space 3}0.993{col 57}{space 4}-.6999811{col 70}{space 3} .7058796
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.1251012{col 29}{space 2} .8004825{col 40}{space 1}   -0.16{col 49}{space 3}0.876{col 57}{space 4}-1.694018{col 70}{space 3} 1.443816
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using balance1.doc, replace addstat(LR chi2(16), e(chi2), p, e(p)) ctitle(Murphy) long
{txt}{stata `"shellout using `"balance1.doc"'"':balance1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "balance1.txt""':seeout}

{com}. 
. ********************************    Table 5A    ********************************
. 
. reg reptherm i.t2vt1##ib7.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        99
{txt}{hline 13}{c +}{hline 34}   F(5, 93)        = {res}     5.79
{txt}       Model {c |} {res} 10146.2144         5  2029.24287   {txt}Prob > F        ={res}    0.0001
{txt}    Residual {c |} {res}  32581.624        93  350.340043   {txt}R-squared       ={res}    0.2375
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1965
{txt}       Total {c |} {res} 42727.8384        98  435.998351   {txt}Root MSE        =   {res} 18.717

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    reptherm{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}t2vt1 {c |}
{space 16}Treatment 2  {c |}{col 30}{res}{space 2}  2.42381{col 42}{space 2} 7.191444{col 53}{space 1}    0.34{col 62}{space 3}0.737{col 70}{space 4}-11.85697{col 83}{space 3} 16.70459
{txt}{space 28} {c |}
{space 24}pid7 {c |}
{space 12}Lean Republican  {c |}{col 30}{res}{space 2}-21.64286{col 42}{space 2}  6.77332{col 53}{space 1}   -3.20{col 62}{space 3}0.002{col 70}{space 4}-35.09333{col 83}{space 3}-8.192386
{txt}{space 12}Weak Republican  {c |}{col 30}{res}{space 2}-19.70696{col 42}{space 2} 6.605459{col 53}{space 1}   -2.98{col 62}{space 3}0.004{col 70}{space 4}-32.82409{col 83}{space 3}-6.589827
{txt}{space 28} {c |}
{space 18}t2vt1#pid7 {c |}
Treatment 2#Lean Republican  {c |}{col 30}{res}{space 2}-3.944643{col 42}{space 2} 10.13943{col 53}{space 1}   -0.39{col 62}{space 3}0.698{col 70}{space 4}-24.07955{col 83}{space 3} 16.19026
{txt}Treatment 2#Weak Republican  {c |}{col 30}{res}{space 2}-2.378225{col 42}{space 2} 9.572965{col 53}{space 1}   -0.25{col 62}{space 3}0.804{col 70}{space 4}-21.38824{col 83}{space 3} 16.63179
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 73.47619{col 42}{space 2} 4.084466{col 53}{space 1}   17.99{col 62}{space 3}0.000{col 70}{space 4} 65.36525{col 83}{space 3} 81.58713
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphypidh1.doc, replace
{txt}{stata `"shellout using `"murphypidh1.doc"'"':murphypidh1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphypidh1.txt""':seeout}

{com}. 
. ********************************    Table 6A    ********************************
. 
. reg reptherm i.t3vt2##ib7.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       103
{txt}{hline 13}{c +}{hline 34}   F(5, 97)        = {res}     7.82
{txt}       Model {c |} {res} 11864.4089         5  2372.88178   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 29415.9989        97   303.25772   {txt}R-squared       ={res}    0.2874
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2507
{txt}       Total {c |} {res} 41280.4078       102   404.70988   {txt}Root MSE        =   {res} 17.414

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    reptherm{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}t3vt2 {c |}
{space 16}Treatment 3  {c |}{col 30}{res}{space 2} 1.338095{col 42}{space 2} 6.690786{col 53}{space 1}    0.20{col 62}{space 3}0.842{col 70}{space 4}-11.94126{col 83}{space 3} 14.61745
{txt}{space 28} {c |}
{space 24}pid7 {c |}
{space 12}Lean Republican  {c |}{col 30}{res}{space 2} -25.5875{col 42}{space 2} 7.019927{col 53}{space 1}   -3.64{col 62}{space 3}0.000{col 70}{space 4}-39.52011{col 83}{space 3}-11.65489
{txt}{space 12}Weak Republican  {c |}{col 30}{res}{space 2}-22.08519{col 42}{space 2} 6.446514{col 53}{space 1}   -3.43{col 62}{space 3}0.001{col 70}{space 4}-34.87973{col 83}{space 3} -9.29064
{txt}{space 28} {c |}
{space 18}t3vt2#pid7 {c |}
Treatment 3#Lean Republican  {c |}{col 30}{res}{space 2} .3494048{col 42}{space 2} 9.554533{col 53}{space 1}    0.04{col 62}{space 3}0.971{col 70}{space 4} -18.6137{col 83}{space 3} 19.31251
{txt}Treatment 3#Weak Republican  {c |}{col 30}{res}{space 2} 5.735979{col 42}{space 2} 8.534989{col 53}{space 1}    0.67{col 62}{space 3}0.503{col 70}{space 4}-11.20361{col 83}{space 3} 22.67557
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2}     75.9{col 42}{space 2} 5.506884{col 53}{space 1}   13.78{col 62}{space 3}0.000{col 70}{space 4} 64.97036{col 83}{space 3} 86.82964
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphypidh2.doc, replace
{txt}{stata `"shellout using `"murphypidh2.doc"'"':murphypidh2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphypidh2.txt""':seeout}

{com}. 
. *******************************    Table 7A    *********************************
. 
. reg demtherm i.t2vt1##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       188
{txt}{hline 13}{c +}{hline 34}   F(5, 182)       = {res}     9.83
{txt}       Model {c |} {res} 19413.7023         5  3882.74046   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 71874.1062       182  394.912672   {txt}R-squared       ={res}    0.2127
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1910
{txt}       Total {c |} {res} 91287.8085       187  488.170099   {txt}Root MSE        =   {res} 19.872

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t2vt1 {c |}
{space 14}Treatment 2  {c |}{col 28}{res}{space 2} 1.840476{col 40}{space 2} 4.390387{col 51}{space 1}    0.42{col 60}{space 3}0.676{col 68}{space 4}-6.822127{col 81}{space 3} 10.50308
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-11.09524{col 40}{space 2} 4.848372{col 51}{space 1}   -2.29{col 60}{space 3}0.023{col 68}{space 4}-20.66148{col 81}{space 3}-1.528993
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2}-29.10119{col 40}{space 2} 5.085015{col 51}{space 1}   -5.72{col 60}{space 3}0.000{col 68}{space 4}-39.13435{col 81}{space 3}-19.06803
{txt}{space 26} {c |}
{space 16}t2vt1#pid7 {c |}
Treatment 2#Weak Democrat  {c |}{col 28}{res}{space 2}-2.627933{col 40}{space 2} 6.558318{col 51}{space 1}   -0.40{col 60}{space 3}0.689{col 68}{space 4}-15.56805{col 81}{space 3} 10.31218
{txt}Treatment 2#Lean Democrat  {c |}{col 28}{res}{space 2} 8.835806{col 40}{space 2} 8.130688{col 51}{space 1}    1.09{col 60}{space 3}0.279{col 68}{space 4}-7.206726{col 81}{space 3} 24.87834
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 74.80952{col 40}{space 2} 3.066379{col 51}{space 1}   24.40{col 60}{space 3}0.000{col 68}{space 4}  68.7593{col 81}{space 3} 80.85975
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphypidh3.doc, replace
{txt}{stata `"shellout using `"murphypidh3.doc"'"':murphypidh3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphypidh3.txt""':seeout}

{com}. 
. *******************************    Figure 1A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. reg reptherm i.t2vt1##ib7.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        99
{txt}{hline 13}{c +}{hline 34}   F(5, 93)        = {res}     5.79
{txt}       Model {c |} {res} 10146.2144         5  2029.24287   {txt}Prob > F        ={res}    0.0001
{txt}    Residual {c |} {res}  32581.624        93  350.340043   {txt}R-squared       ={res}    0.2375
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1965
{txt}       Total {c |} {res} 42727.8384        98  435.998351   {txt}Root MSE        =   {res} 18.717

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    reptherm{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}t2vt1 {c |}
{space 16}Treatment 2  {c |}{col 30}{res}{space 2}  2.42381{col 42}{space 2} 7.191444{col 53}{space 1}    0.34{col 62}{space 3}0.737{col 70}{space 4}-11.85697{col 83}{space 3} 16.70459
{txt}{space 28} {c |}
{space 24}pid7 {c |}
{space 12}Lean Republican  {c |}{col 30}{res}{space 2}-21.64286{col 42}{space 2}  6.77332{col 53}{space 1}   -3.20{col 62}{space 3}0.002{col 70}{space 4}-35.09333{col 83}{space 3}-8.192386
{txt}{space 12}Weak Republican  {c |}{col 30}{res}{space 2}-19.70696{col 42}{space 2} 6.605459{col 53}{space 1}   -2.98{col 62}{space 3}0.004{col 70}{space 4}-32.82409{col 83}{space 3}-6.589827
{txt}{space 28} {c |}
{space 18}t2vt1#pid7 {c |}
Treatment 2#Lean Republican  {c |}{col 30}{res}{space 2}-3.944643{col 42}{space 2} 10.13943{col 53}{space 1}   -0.39{col 62}{space 3}0.698{col 70}{space 4}-24.07955{col 83}{space 3} 16.19026
{txt}Treatment 2#Weak Republican  {c |}{col 30}{res}{space 2}-2.378225{col 42}{space 2} 9.572965{col 53}{space 1}   -0.25{col 62}{space 3}0.804{col 70}{space 4}-21.38824{col 83}{space 3} 16.63179
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 73.47619{col 42}{space 2} 4.084466{col 53}{space 1}   17.99{col 62}{space 3}0.000{col 70}{space 4} 65.36525{col 83}{space 3} 81.58713
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) pid7=(5(1)7)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}        99
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 51.83333{col 26}{space 2}  5.40324{col 37}{space 1}    9.59{col 46}{space 3}0.000{col 54}{space 4} 42.85637{col 67}{space 3}  60.8103
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 53.76923{col 26}{space 2} 5.191265{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} 45.14444{col 67}{space 3} 62.39402
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 73.47619{col 26}{space 2} 4.084466{col 37}{space 1}   17.99{col 46}{space 3}0.000{col 54}{space 4} 66.69024{col 67}{space 3} 80.26214
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  50.3125{col 26}{space 2} 4.679343{col 37}{space 1}   10.75{col 46}{space 3}0.000{col 54}{space 4} 42.53822{col 67}{space 3} 58.08678
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 53.81481{col 26}{space 2}  3.60216{col 37}{space 1}   14.94{col 46}{space 3}0.000{col 54}{space 4} 47.83017{col 67}{space 3} 59.79946
{txt}{space 10}6  {c |}{col 14}{res}{space 2}     75.9{col 26}{space 2} 5.918953{col 37}{space 1}   12.82{col 46}{space 3}0.000{col 54}{space 4} 66.06623{col 67}{space 3} 85.73377
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 pid7{p_end}
{res}{txt}
{com}. graph export "fig1a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig1a.pdf written in PDF format)

{com}. 
. *******************************    Figure 2A    ********************************
. 
. reg reptherm i.t3vt2##i.pid7 if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       103
{txt}{hline 13}{c +}{hline 34}   F(5, 97)        = {res}     7.82
{txt}       Model {c |} {res} 11864.4089         5  2372.88178   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 29415.9989        97   303.25772   {txt}R-squared       ={res}    0.2874
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2507
{txt}       Total {c |} {res} 41280.4078       102   404.70988   {txt}Root MSE        =   {res} 17.414

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      reptherm{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}t3vt2 {c |}
{space 18}Treatment 3  {c |}{col 32}{res}{space 2}   1.6875{col 44}{space 2}  6.82074{col 55}{space 1}    0.25{col 64}{space 3}0.805{col 72}{space 4}-11.84978{col 85}{space 3} 15.22478
{txt}{space 30} {c |}
{space 26}pid7 {c |}
{space 14}Weak Republican  {c |}{col 32}{res}{space 2} 3.502315{col 44}{space 2} 5.494122{col 55}{space 1}    0.64{col 64}{space 3}0.525{col 72}{space 4}-7.401996{col 85}{space 3} 14.40663
{txt}{space 12}Strong Republican  {c |}{col 32}{res}{space 2}  25.5875{col 44}{space 2} 7.019927{col 55}{space 1}    3.64{col 64}{space 3}0.000{col 72}{space 4} 11.65489{col 85}{space 3} 39.52011
{txt}{space 30} {c |}
{space 20}t3vt2#pid7 {c |}
{space 2}Treatment 3#Weak Republican  {c |}{col 32}{res}{space 2} 5.386574{col 44}{space 2}  8.63724{col 55}{space 1}    0.62{col 64}{space 3}0.534{col 72}{space 4}-11.75596{col 85}{space 3}  22.5291
{txt}Treatment 3#Strong Republican  {c |}{col 32}{res}{space 2}-.3494048{col 44}{space 2} 9.554533{col 55}{space 1}   -0.04{col 64}{space 3}0.971{col 72}{space 4}-19.31251{col 85}{space 3}  18.6137
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  50.3125{col 44}{space 2} 4.353574{col 55}{space 1}   11.56{col 64}{space 3}0.000{col 72}{space 4} 41.67186{col 85}{space 3} 58.95314
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t3vt2=(0(1)1) pid7=(5(1)7)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       103
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  50.3125{col 26}{space 2} 4.353574{col 37}{space 1}   11.56{col 46}{space 3}0.000{col 54}{space 4} 43.08246{col 67}{space 3} 57.54254
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 53.81481{col 26}{space 2} 3.351383{col 37}{space 1}   16.06{col 46}{space 3}0.000{col 54}{space 4} 48.24912{col 67}{space 3} 59.38051
{txt}{space 10}3  {c |}{col 14}{res}{space 2}     75.9{col 26}{space 2} 5.506884{col 37}{space 1}   13.78{col 46}{space 3}0.000{col 54}{space 4} 66.75464{col 67}{space 3} 85.04536
{txt}{space 10}4  {c |}{col 14}{res}{space 2}       52{col 26}{space 2} 5.250608{col 37}{space 1}    9.90{col 46}{space 3}0.000{col 54}{space 4} 43.28024{col 67}{space 3} 60.71976
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 60.88889{col 26}{space 2} 4.104589{col 37}{space 1}   14.83{col 46}{space 3}0.000{col 54}{space 4} 54.07234{col 67}{space 3} 67.70544
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  77.2381{col 26}{space 2} 3.800111{col 37}{space 1}   20.33{col 46}{space 3}0.000{col 54}{space 4}  70.9272{col 67}{space 3}   83.549
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Hypocrisy" 1 "Resignation")

{text}{p 2 6 2}Variables that uniquely identify margins: t3vt2 pid7{p_end}
{res}{txt}
{com}. graph export "fig2a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig2a.pdf written in PDF format)

{com}. 
. *******************************    Figure 3A    ********************************
. 
. reg demtherm i.t2vt1##i.pid7 if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       188
{txt}{hline 13}{c +}{hline 34}   F(5, 182)       = {res}     9.83
{txt}       Model {c |} {res} 19413.7023         5  3882.74046   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 71874.1062       182  394.912672   {txt}R-squared       ={res}    0.2127
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1910
{txt}       Total {c |} {res} 91287.8085       187  488.170099   {txt}Root MSE        =   {res} 19.872

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  demtherm{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}t2vt1 {c |}
{space 14}Treatment 2  {c |}{col 28}{res}{space 2} 1.840476{col 40}{space 2} 4.390387{col 51}{space 1}    0.42{col 60}{space 3}0.676{col 68}{space 4}-6.822127{col 81}{space 3} 10.50308
{txt}{space 26} {c |}
{space 22}pid7 {c |}
{space 12}Weak Democrat  {c |}{col 28}{res}{space 2}-11.09524{col 40}{space 2} 4.848372{col 51}{space 1}   -2.29{col 60}{space 3}0.023{col 68}{space 4}-20.66148{col 81}{space 3}-1.528993
{txt}{space 12}Lean Democrat  {c |}{col 28}{res}{space 2}-29.10119{col 40}{space 2} 5.085015{col 51}{space 1}   -5.72{col 60}{space 3}0.000{col 68}{space 4}-39.13435{col 81}{space 3}-19.06803
{txt}{space 26} {c |}
{space 16}t2vt1#pid7 {c |}
Treatment 2#Weak Democrat  {c |}{col 28}{res}{space 2}-2.627933{col 40}{space 2} 6.558318{col 51}{space 1}   -0.40{col 60}{space 3}0.689{col 68}{space 4}-15.56805{col 81}{space 3} 10.31218
{txt}Treatment 2#Lean Democrat  {c |}{col 28}{res}{space 2} 8.835806{col 40}{space 2} 8.130688{col 51}{space 1}    1.09{col 60}{space 3}0.279{col 68}{space 4}-7.206726{col 81}{space 3} 24.87834
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 74.80952{col 40}{space 2} 3.066379{col 51}{space 1}   24.40{col 60}{space 3}0.000{col 68}{space 4}  68.7593{col 81}{space 3} 80.85975
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) pid7=(1(1)3)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       188
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:pid7}{space 12}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 74.80952{col 26}{space 2} 3.066379{col 37}{space 1}   24.40{col 46}{space 3}0.000{col 54}{space 4} 69.73997{col 67}{space 3} 79.87907
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 63.71429{col 26}{space 2} 3.755532{col 37}{space 1}   16.97{col 46}{space 3}0.000{col 54}{space 4} 57.50538{col 67}{space 3} 69.92319
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 45.70833{col 26}{space 2} 4.056439{col 37}{space 1}   11.27{col 46}{space 3}0.000{col 54}{space 4} 39.00195{col 67}{space 3} 52.41472
{txt}{space 10}4  {c |}{col 14}{res}{space 2}    76.65{col 26}{space 2} 3.142104{col 37}{space 1}   24.39{col 46}{space 3}0.000{col 54}{space 4} 71.45526{col 67}{space 3} 81.84474
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 62.92683{col 26}{space 2} 3.103549{col 37}{space 1}   20.28{col 46}{space 3}0.000{col 54}{space 4} 57.79583{col 67}{space 3} 68.05783
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 56.38462{col 26}{space 2} 5.511615{col 37}{space 1}   10.23{col 46}{space 3}0.000{col 54}{space 4} 47.27243{col 67}{space 3}  65.4968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(pid7) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(2.5) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 pid7{p_end}
{res}{txt}
{com}. graph export "fig3a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig3a.pdf written in PDF format)

{com}. 
. *******************************    Table 11A    ********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. reg reptherm i.t2vt1##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        99
{txt}{hline 13}{c +}{hline 34}   F(3, 95)        = {res}     2.12
{txt}       Model {c |} {res} 2675.85464         3  891.951546   {txt}Prob > F        ={res}    0.1034
{txt}    Residual {c |} {res} 40051.9837        95  421.599829   {txt}R-squared       ={res}    0.0626
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0330
{txt}       Total {c |} {res} 42727.8384        98  435.998351   {txt}Root MSE        =   {res} 20.533

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} .1786834{col 52}{space 2} 5.226249{col 63}{space 1}    0.03{col 72}{space 3}0.973{col 80}{space 4}-10.19673{col 93}{space 3}  10.5541
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 13.48884{col 52}{space 2} 6.271995{col 63}{space 1}    2.15{col 72}{space 3}0.034{col 80}{space 4}  1.03736{col 93}{space 3} 25.94033
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2}-14.89339{col 52}{space 2} 8.555329{col 63}{space 1}   -1.74{col 72}{space 3}0.085{col 80}{space 4}-31.87787{col 93}{space 3} 2.091087
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 57.27586{col 52}{space 2} 3.812863{col 63}{space 1}   15.02{col 72}{space 3}0.000{col 80}{space 4} 49.70637{col 93}{space 3} 64.84535
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphynewsh1.doc, replace
{txt}{stata `"shellout using `"murphynewsh1.doc"'"':murphynewsh1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphynewsh1.txt""':seeout}

{com}. 
. *******************************    Table 12A    ********************************
. 
. reg reptherm i.t3vt2##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       103
{txt}{hline 13}{c +}{hline 34}   F(3, 99)        = {res}     1.83
{txt}       Model {c |} {res} 2172.56967         3  724.189889   {txt}Prob > F        ={res}    0.1460
{txt}    Residual {c |} {res} 39107.8381        99  395.028668   {txt}R-squared       ={res}    0.0526
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0239
{txt}       Total {c |} {res} 41280.4078       102   404.70988   {txt}Root MSE        =   {res} 19.875

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t3vt2 {c |}
{space 26}Treatment 3  {c |}{col 40}{res}{space 2}   7.1261{col 52}{space 2}  4.97126{col 63}{space 1}    1.43{col 72}{space 3}0.155{col 80}{space 4}-2.737959{col 93}{space 3} 16.99016
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.404545{col 52}{space 2} 5.632229{col 63}{space 1}   -0.25{col 72}{space 3}0.804{col 80}{space 4}-12.58011{col 93}{space 3} 9.771018
{txt}{space 38} {c |}
{space 22}t3vt2#vclosenews {c |}
Treatment 3#Follows News Very Closely  {c |}{col 40}{res}{space 2} 4.613374{col 52}{space 2} 8.078109{col 63}{space 1}    0.57{col 72}{space 3}0.569{col 80}{space 4}-11.41535{col 93}{space 3} 20.64209
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 57.45455{col 52}{space 2} 3.459851{col 63}{space 1}   16.61{col 72}{space 3}0.000{col 80}{space 4} 50.58945{col 93}{space 3} 64.31964
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphynewsh2.doc, replace
{txt}{stata `"shellout using `"murphynewsh2.doc"'"':murphynewsh2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphynewsh2.txt""':seeout}

{com}. 
. *******************************    Table 13A    ********************************
. 
. reg demtherm i.t2vt1##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       188
{txt}{hline 13}{c +}{hline 34}   F(3, 184)       = {res}     0.94
{txt}       Model {c |} {res} 1382.93201         3  460.977338   {txt}Prob > F        ={res}    0.4208
{txt}    Residual {c |} {res} 89904.8765       184  488.613459   {txt}R-squared       ={res}    0.0151
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0009
{txt}       Total {c |} {res} 91287.8085       187  488.170099   {txt}Root MSE        =   {res} 22.105

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} 1.012555{col 52}{space 2} 4.162929{col 63}{space 1}    0.24{col 72}{space 3}0.808{col 80}{space 4}-7.200657{col 93}{space 3} 9.225767
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.826852{col 52}{space 2} 4.611262{col 63}{space 1}   -0.40{col 72}{space 3}0.692{col 80}{space 4} -10.9246{col 93}{space 3} 7.270893
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2} 7.191017{col 52}{space 2} 6.595885{col 63}{space 1}    1.09{col 72}{space 3}0.277{col 80}{space 4}-5.822273{col 93}{space 3} 20.20431
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 64.85185{col 52}{space 2} 3.008055{col 63}{space 1}   21.56{col 72}{space 3}0.000{col 80}{space 4} 58.91714{col 93}{space 3} 70.78657
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphynewsh3.doc, replace
{txt}{stata `"shellout using `"murphynewsh3.doc"'"':murphynewsh3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphynewsh3.txt""':seeout}

{com}. 
. *******************************    Figure 7A   *********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. reg reptherm i.t2vt1##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        99
{txt}{hline 13}{c +}{hline 34}   F(3, 95)        = {res}     2.12
{txt}       Model {c |} {res} 2675.85464         3  891.951546   {txt}Prob > F        ={res}    0.1034
{txt}    Residual {c |} {res} 40051.9837        95  421.599829   {txt}R-squared       ={res}    0.0626
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0330
{txt}       Total {c |} {res} 42727.8384        98  435.998351   {txt}Root MSE        =   {res} 20.533

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} .1786834{col 52}{space 2} 5.226249{col 63}{space 1}    0.03{col 72}{space 3}0.973{col 80}{space 4}-10.19673{col 93}{space 3}  10.5541
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 13.48884{col 52}{space 2} 6.271995{col 63}{space 1}    2.15{col 72}{space 3}0.034{col 80}{space 4}  1.03736{col 93}{space 3} 25.94033
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2}-14.89339{col 52}{space 2} 8.555329{col 63}{space 1}   -1.74{col 72}{space 3}0.085{col 80}{space 4}-31.87787{col 93}{space 3} 2.091087
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 57.27586{col 52}{space 2} 3.812863{col 63}{space 1}   15.02{col 72}{space 3}0.000{col 80}{space 4} 49.70637{col 93}{space 3} 64.84535
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}        99
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 57.27586{col 26}{space 2} 3.812863{col 37}{space 1}   15.02{col 46}{space 3}0.000{col 54}{space 4}  50.9425{col 67}{space 3} 63.60923
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 70.76471{col 26}{space 2} 4.979959{col 37}{space 1}   14.21{col 46}{space 3}0.000{col 54}{space 4} 62.49274{col 67}{space 3} 79.03668
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 57.45455{col 26}{space 2} 3.574318{col 37}{space 1}   16.07{col 46}{space 3}0.000{col 54}{space 4} 51.51742{col 67}{space 3} 63.39167
{txt}{space 10}4  {c |}{col 14}{res}{space 2}    56.05{col 26}{space 2} 4.591295{col 37}{space 1}   12.21{col 46}{space 3}0.000{col 54}{space 4} 48.42362{col 67}{space 3} 63.67638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig10a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig10a.pdf written in PDF format)

{com}. 
. *******************************    Figure 8A   *********************************
. 
. reg reptherm i.t3vt2##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       103
{txt}{hline 13}{c +}{hline 34}   F(3, 99)        = {res}     1.83
{txt}       Model {c |} {res} 2172.56967         3  724.189889   {txt}Prob > F        ={res}    0.1460
{txt}    Residual {c |} {res} 39107.8381        99  395.028668   {txt}R-squared       ={res}    0.0526
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0239
{txt}       Total {c |} {res} 41280.4078       102   404.70988   {txt}Root MSE        =   {res} 19.875

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t3vt2 {c |}
{space 26}Treatment 3  {c |}{col 40}{res}{space 2}   7.1261{col 52}{space 2}  4.97126{col 63}{space 1}    1.43{col 72}{space 3}0.155{col 80}{space 4}-2.737959{col 93}{space 3} 16.99016
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.404545{col 52}{space 2} 5.632229{col 63}{space 1}   -0.25{col 72}{space 3}0.804{col 80}{space 4}-12.58011{col 93}{space 3} 9.771018
{txt}{space 38} {c |}
{space 22}t3vt2#vclosenews {c |}
Treatment 3#Follows News Very Closely  {c |}{col 40}{res}{space 2} 4.613374{col 52}{space 2} 8.078109{col 63}{space 1}    0.57{col 72}{space 3}0.569{col 80}{space 4}-11.41535{col 93}{space 3} 20.64209
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 57.45455{col 52}{space 2} 3.459851{col 63}{space 1}   16.61{col 72}{space 3}0.000{col 80}{space 4} 50.58945{col 93}{space 3} 64.31964
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t3vt2=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       103
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 57.45455{col 26}{space 2} 3.459851{col 37}{space 1}   16.61{col 46}{space 3}0.000{col 54}{space 4} 51.70984{col 67}{space 3} 63.19925
{txt}{space 10}2  {c |}{col 14}{res}{space 2}    56.05{col 26}{space 2} 4.444258{col 37}{space 1}   12.61{col 46}{space 3}0.000{col 54}{space 4} 48.67079{col 67}{space 3} 63.42921
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 64.58065{col 26}{space 2} 3.569714{col 37}{space 1}   18.09{col 46}{space 3}0.000{col 54}{space 4} 58.65352{col 67}{space 3} 70.50777
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 67.78947{col 26}{space 2} 4.559713{col 37}{space 1}   14.87{col 46}{space 3}0.000{col 54}{space 4} 60.21857{col 67}{space 3} 75.36038
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Hypocrisy" 1 "Resignation")

{text}{p 2 6 2}Variables that uniquely identify margins: t3vt2 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig11a.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig11a.pdf written in PDF format)

{com}. 
. *******************************    Figure 12A   ********************************
. 
. reg demtherm i.t2vt1##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       188
{txt}{hline 13}{c +}{hline 34}   F(3, 184)       = {res}     0.94
{txt}       Model {c |} {res} 1382.93201         3  460.977338   {txt}Prob > F        ={res}    0.4208
{txt}    Residual {c |} {res} 89904.8765       184  488.613459   {txt}R-squared       ={res}    0.0151
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0009
{txt}       Total {c |} {res} 91287.8085       187  488.170099   {txt}Root MSE        =   {res} 22.105

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} 1.012555{col 52}{space 2} 4.162929{col 63}{space 1}    0.24{col 72}{space 3}0.808{col 80}{space 4}-7.200657{col 93}{space 3} 9.225767
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.826852{col 52}{space 2} 4.611262{col 63}{space 1}   -0.40{col 72}{space 3}0.692{col 80}{space 4} -10.9246{col 93}{space 3} 7.270893
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2} 7.191017{col 52}{space 2} 6.595885{col 63}{space 1}    1.09{col 72}{space 3}0.277{col 80}{space 4}-5.822273{col 93}{space 3} 20.20431
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 64.85185{col 52}{space 2} 3.008055{col 63}{space 1}   21.56{col 72}{space 3}0.000{col 80}{space 4} 58.91714{col 93}{space 3} 70.78657
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       188
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 64.85185{col 26}{space 2} 3.008055{col 37}{space 1}   21.56{col 46}{space 3}0.000{col 54}{space 4}   59.879{col 67}{space 3}  69.8247
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   63.025{col 26}{space 2} 3.495045{col 37}{space 1}   18.03{col 46}{space 3}0.000{col 54}{space 4} 57.24707{col 67}{space 3} 68.80293
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 65.86441{col 26}{space 2} 2.877774{col 37}{space 1}   22.89{col 46}{space 3}0.000{col 54}{space 4} 61.10694{col 67}{space 3} 70.62188
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 71.22857{col 26}{space 2}  3.73636{col 37}{space 1}   19.06{col 46}{space 3}0.000{col 54}{space 4} 65.05171{col 67}{space 3} 77.40544
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, xtitle(" ") recast(bar) by(vclosenews) byopt(title(" ") row(1)) ///
> plotopts(barw(.8) color(white) lcolor(black)) recastci(rspike) ysize(3) ///
> xlabel(0 "Scandal" 1 "Hypocrisy")

{text}{p 2 6 2}Variables that uniquely identify margins: t2vt1 vclosenews{p_end}
{res}{txt}
{com}. graph export "fig12a.pdf", replace as(pdf)
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig12a.pdf written in PDF format)

{com}. 
. *******************************   Table 17A   **********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables
{txt}
{com}. 
. reg reptherm i.t2vt1##i.republican age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       287
{txt}{hline 13}{c +}{hline 34}   F(9, 277)       = {res}    44.34
{txt}       Model {c |} {res} 133056.749         9  14784.0832   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 92365.0278       277  333.447754   {txt}R-squared       ={res}    0.5903
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5769
{txt}       Total {c |} {res} 225421.777       286  788.188031   {txt}Root MSE        =   {res} 18.261

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t2vt1 {c |}
{space 11}Treatment 2  {c |}{col 25}{res}{space 2}-1.869902{col 37}{space 2} 2.685871{col 48}{space 1}   -0.70{col 57}{space 3}0.487{col 65}{space 4}-7.157213{col 78}{space 3}  3.41741
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2}   45.963{col 37}{space 2} 3.347327{col 48}{space 1}   13.73{col 57}{space 3}0.000{col 65}{space 4} 39.37357{col 78}{space 3} 52.55243
{txt}{space 23} {c |}
{space 7}t2vt1#republican {c |}
Treatment 2#Republican  {c |}{col 25}{res}{space 2}-3.166983{col 37}{space 2}  4.60391{col 48}{space 1}   -0.69{col 57}{space 3}0.492{col 65}{space 4}-12.23008{col 78}{space 3} 5.896114
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}  .081418{col 37}{space 2} .0861965{col 48}{space 1}    0.94{col 57}{space 3}0.346{col 65}{space 4}-.0882654{col 78}{space 3} .2511014
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.4244433{col 37}{space 2} 1.143608{col 48}{space 1}   -0.37{col 57}{space 3}0.711{col 65}{space 4}-2.675711{col 78}{space 3} 1.826824
{txt}{space 17}female {c |}{col 25}{res}{space 2} .2940082{col 37}{space 2} 2.224296{col 48}{space 1}    0.13{col 57}{space 3}0.895{col 65}{space 4}-4.084664{col 78}{space 3}  4.67268
{txt}{space 18}black {c |}{col 25}{res}{space 2}-2.391922{col 37}{space 2} 4.933997{col 48}{space 1}   -0.48{col 57}{space 3}0.628{col 65}{space 4}-12.10482{col 78}{space 3} 7.320973
{txt}{space 19}hisp {c |}{col 25}{res}{space 2} -6.38435{col 37}{space 2} 5.072533{col 48}{space 1}   -1.26{col 57}{space 3}0.209{col 65}{space 4}-16.36996{col 78}{space 3} 3.601261
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-3.343294{col 37}{space 2} 4.081269{col 48}{space 1}   -0.82{col 57}{space 3}0.413{col 65}{space 4}-11.37754{col 78}{space 3} 4.690949
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 14.90463{col 37}{space 2} 6.558074{col 48}{space 1}    2.27{col 57}{space 3}0.024{col 65}{space 4} 1.994637{col 78}{space 3} 27.81463
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth1.doc, replace
{txt}{stata `"shellout using `"murphyrobusth1.doc"'"':murphyrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth1.txt""':seeout}

{com}. 
. reg reptherm i.t2vt1##i.republican age edu female black hisp asian if pittsburgh_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       284
{txt}{hline 13}{c +}{hline 34}   F(9, 274)       = {res}    43.10
{txt}       Model {c |} {res} 130002.284         9  14444.6982   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 91829.4905       274  335.144126   {txt}R-squared       ={res}    0.5860
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5724
{txt}       Total {c |} {res} 221831.775       283  783.857861   {txt}Root MSE        =   {res} 18.307

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t2vt1 {c |}
{space 11}Treatment 2  {c |}{col 25}{res}{space 2}-1.890592{col 37}{space 2} 2.706747{col 48}{space 1}   -0.70{col 57}{space 3}0.485{col 65}{space 4}-7.219254{col 78}{space 3} 3.438071
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2} 45.58181{col 37}{space 2} 3.382892{col 48}{space 1}   13.47{col 57}{space 3}0.000{col 65}{space 4} 38.92205{col 78}{space 3} 52.24158
{txt}{space 23} {c |}
{space 7}t2vt1#republican {c |}
Treatment 2#Republican  {c |}{col 25}{res}{space 2}-2.986444{col 37}{space 2}  4.63763{col 48}{space 1}   -0.64{col 57}{space 3}0.520{col 65}{space 4}-12.11636{col 78}{space 3} 6.143471
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2} .0818141{col 37}{space 2} .0865923{col 48}{space 1}    0.94{col 57}{space 3}0.346{col 65}{space 4}-.0886567{col 78}{space 3} .2522849
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.3761144{col 37}{space 2}  1.15078{col 48}{space 1}   -0.33{col 57}{space 3}0.744{col 65}{space 4}-2.641608{col 78}{space 3} 1.889379
{txt}{space 17}female {c |}{col 25}{res}{space 2} .0081756{col 37}{space 2} 2.241598{col 48}{space 1}    0.00{col 57}{space 3}0.997{col 65}{space 4}-4.404768{col 78}{space 3} 4.421119
{txt}{space 18}black {c |}{col 25}{res}{space 2}-2.469421{col 37}{space 2} 4.950023{col 48}{space 1}   -0.50{col 57}{space 3}0.618{col 65}{space 4}-12.21433{col 78}{space 3} 7.275489
{txt}{space 19}hisp {c |}{col 25}{res}{space 2}-6.585589{col 37}{space 2} 5.088894{col 48}{space 1}   -1.29{col 57}{space 3}0.197{col 65}{space 4}-16.60389{col 78}{space 3} 3.432712
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-3.525055{col 37}{space 2} 4.096381{col 48}{space 1}   -0.86{col 57}{space 3}0.390{col 65}{space 4}-11.58943{col 78}{space 3} 4.539325
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 15.01259{col 37}{space 2} 6.605833{col 48}{space 1}    2.27{col 57}{space 3}0.024{col 65}{space 4} 2.007949{col 78}{space 3} 28.01722
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth1.doc, append
{txt}{stata `"shellout using `"murphyrobusth1.doc"'"':murphyrobusth1.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth1.txt""':seeout}

{com}. 
. *******************************   Table 18A   **********************************
. 
. reg reptherm i.t3vt2##i.republican age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       292
{txt}{hline 13}{c +}{hline 34}   F(9, 282)       = {res}    50.95
{txt}       Model {c |} {res} 150031.899         9   16670.211   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 92259.3712       282  327.160891   {txt}R-squared       ={res}    0.6192
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6071
{txt}       Total {c |} {res} 242291.271       291   832.61605   {txt}Root MSE        =   {res} 18.088

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t3vt2 {c |}
{space 11}Treatment 3  {c |}{col 25}{res}{space 2} .8418422{col 37}{space 2} 2.644574{col 48}{space 1}    0.32{col 57}{space 3}0.750{col 65}{space 4}-4.363769{col 78}{space 3} 6.047453
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2} 43.31065{col 37}{space 2} 3.147961{col 48}{space 1}   13.76{col 57}{space 3}0.000{col 65}{space 4} 37.11416{col 78}{space 3} 49.50713
{txt}{space 23} {c |}
{space 7}t3vt2#republican {c |}
Treatment 3#Republican  {c |}{col 25}{res}{space 2} 7.693731{col 37}{space 2} 4.444704{col 48}{space 1}    1.73{col 57}{space 3}0.085{col 65}{space 4}-1.055276{col 78}{space 3} 16.44274
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-.0284912{col 37}{space 2}  .085064{col 48}{space 1}   -0.33{col 57}{space 3}0.738{col 65}{space 4}-.1959322{col 78}{space 3} .1389497
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.4499077{col 37}{space 2}  1.09182{col 48}{space 1}   -0.41{col 57}{space 3}0.681{col 65}{space 4}-2.599059{col 78}{space 3} 1.699244
{txt}{space 17}female {c |}{col 25}{res}{space 2} 2.144549{col 37}{space 2} 2.190784{col 48}{space 1}    0.98{col 57}{space 3}0.328{col 65}{space 4}-2.167815{col 78}{space 3} 6.456913
{txt}{space 18}black {c |}{col 25}{res}{space 2} 6.877647{col 37}{space 2} 5.059488{col 48}{space 1}    1.36{col 57}{space 3}0.175{col 65}{space 4}-3.081509{col 78}{space 3}  16.8368
{txt}{space 19}hisp {c |}{col 25}{res}{space 2}-3.653726{col 37}{space 2} 5.046171{col 48}{space 1}   -0.72{col 57}{space 3}0.470{col 65}{space 4}-13.58667{col 78}{space 3} 6.279218
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-2.842597{col 37}{space 2} 4.427749{col 48}{space 1}   -0.64{col 57}{space 3}0.521{col 65}{space 4}-11.55823{col 78}{space 3} 5.873037
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 16.03108{col 37}{space 2} 6.109263{col 48}{space 1}    2.62{col 57}{space 3}0.009{col 65}{space 4}  4.00553{col 78}{space 3} 28.05662
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth2.doc, replace
{txt}{stata `"shellout using `"murphyrobusth2.doc"'"':murphyrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth2.txt""':seeout}

{com}. 
. reg reptherm i.t3vt2##i.republican age edu female black hisp asian if pittsburgh_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       291
{txt}{hline 13}{c +}{hline 34}   F(9, 281)       = {res}    50.60
{txt}       Model {c |} {res} 149284.226         9  16587.1362   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  92110.743       281  327.796238   {txt}R-squared       ={res}    0.6184
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6062
{txt}       Total {c |} {res} 241394.969       290  832.396445   {txt}Root MSE        =   {res} 18.105

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               reptherm{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}t3vt2 {c |}
{space 11}Treatment 3  {c |}{col 25}{res}{space 2} .7141498{col 37}{space 2} 2.653924{col 48}{space 1}    0.27{col 57}{space 3}0.788{col 65}{space 4}-4.509947{col 78}{space 3} 5.938246
{txt}{space 23} {c |}
{space 13}republican {c |}
{space 12}Republican  {c |}{col 25}{res}{space 2} 43.16052{col 37}{space 2} 3.158894{col 48}{space 1}   13.66{col 57}{space 3}0.000{col 65}{space 4} 36.94242{col 78}{space 3} 49.37862
{txt}{space 23} {c |}
{space 7}t3vt2#republican {c |}
Treatment 3#Republican  {c |}{col 25}{res}{space 2} 7.825474{col 37}{space 2} 4.453317{col 48}{space 1}    1.76{col 57}{space 3}0.080{col 65}{space 4}-.9406231{col 78}{space 3} 16.59157
{txt}{space 23} {c |}
{space 20}age {c |}{col 25}{res}{space 2}-.0279578{col 37}{space 2} .0851502{col 48}{space 1}   -0.33{col 57}{space 3}0.743{col 65}{space 4}-.1955711{col 78}{space 3} .1396555
{txt}{space 20}edu {c |}{col 25}{res}{space 2}-.4668098{col 37}{space 2} 1.093168{col 48}{space 1}   -0.43{col 57}{space 3}0.670{col 65}{space 4}-2.618647{col 78}{space 3} 1.685028
{txt}{space 17}female {c |}{col 25}{res}{space 2} 2.050019{col 37}{space 2} 2.197399{col 48}{space 1}    0.93{col 57}{space 3}0.352{col 65}{space 4}-2.275433{col 78}{space 3} 6.375471
{txt}{space 18}black {c |}{col 25}{res}{space 2} 6.823936{col 37}{space 2} 5.065026{col 48}{space 1}    1.35{col 57}{space 3}0.179{col 65}{space 4}-3.146275{col 78}{space 3} 16.79415
{txt}{space 19}hisp {c |}{col 25}{res}{space 2}-3.724046{col 37}{space 2} 5.052148{col 48}{space 1}   -0.74{col 57}{space 3}0.462{col 65}{space 4}-13.66891{col 78}{space 3} 6.220815
{txt}{space 18}asian {c |}{col 25}{res}{space 2}-2.933933{col 37}{space 2} 4.434122{col 48}{space 1}   -0.66{col 57}{space 3}0.509{col 65}{space 4}-11.66224{col 78}{space 3} 5.794379
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 16.27722{col 37}{space 2} 6.126108{col 48}{space 1}    2.66{col 57}{space 3}0.008{col 65}{space 4} 4.218328{col 78}{space 3} 28.33611
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth2.doc, append
{txt}{stata `"shellout using `"murphyrobusth2.doc"'"':murphyrobusth2.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth2.txt""':seeout}

{com}. 
. *******************************   Table 19A   **********************************
. 
. reg demtherm i.t2vt1##i.democrat age edu female black hisp asian

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       287
{txt}{hline 13}{c +}{hline 34}   F(9, 277)       = {res}    31.10
{txt}       Model {c |} {res} 122691.907         9  13632.4342   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 121408.601       277    438.2982   {txt}R-squared       ={res}    0.5026
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4865
{txt}       Total {c |} {res} 244100.509       286  853.498282   {txt}Root MSE        =   {res} 20.936

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t2vt1 {c |}
{space 9}Treatment 2  {c |}{col 23}{res}{space 2} -1.24021{col 35}{space 2}  4.28762{col 46}{space 1}   -0.29{col 55}{space 3}0.773{col 63}{space 4}-9.680669{col 76}{space 3}  7.20025
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 39.06802{col 35}{space 2} 3.837682{col 46}{space 1}   10.18{col 55}{space 3}0.000{col 63}{space 4}  31.5133{col 76}{space 3} 46.62275
{txt}{space 21} {c |}
{space 7}t2vt1#democrat {c |}
Treatment 2#Democrat  {c |}{col 23}{res}{space 2} 5.667375{col 35}{space 2} 5.278345{col 46}{space 1}    1.07{col 55}{space 3}0.284{col 63}{space 4}-4.723391{col 76}{space 3} 16.05814
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2}-.0675825{col 35}{space 2} .0988236{col 46}{space 1}   -0.68{col 55}{space 3}0.495{col 63}{space 4}-.2621231{col 76}{space 3} .1269582
{txt}{space 18}edu {c |}{col 23}{res}{space 2} 1.659168{col 35}{space 2} 1.311137{col 46}{space 1}    1.27{col 55}{space 3}0.207{col 63}{space 4}-.9218913{col 76}{space 3} 4.240227
{txt}{space 15}female {c |}{col 23}{res}{space 2}  6.73033{col 35}{space 2} 2.550137{col 46}{space 1}    2.64{col 55}{space 3}0.009{col 63}{space 4} 1.710219{col 76}{space 3} 11.75044
{txt}{space 16}black {c |}{col 23}{res}{space 2} 6.981336{col 35}{space 2} 5.656787{col 46}{space 1}    1.23{col 55}{space 3}0.218{col 63}{space 4}-4.154418{col 76}{space 3} 18.11709
{txt}{space 17}hisp {c |}{col 23}{res}{space 2}-.2810472{col 35}{space 2} 5.815617{col 46}{space 1}   -0.05{col 55}{space 3}0.961{col 63}{space 4}-11.72947{col 76}{space 3} 11.16737
{txt}{space 16}asian {c |}{col 23}{res}{space 2}-2.936056{col 35}{space 2} 4.679141{col 46}{space 1}   -0.63{col 55}{space 3}0.531{col 63}{space 4}-12.14725{col 76}{space 3} 6.275138
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 16.39438{col 35}{space 2} 7.792758{col 46}{space 1}    2.10{col 55}{space 3}0.036{col 63}{space 4} 1.053825{col 76}{space 3} 31.73493
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth3.doc, replace
{txt}{stata `"shellout using `"murphyrobusth3.doc"'"':murphyrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth3.txt""':seeout}

{com}. 
. reg demtherm i.t2vt1##i.democrat age edu female black hisp asian  if pittsburgh_mm == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       284
{txt}{hline 13}{c +}{hline 34}   F(9, 274)       = {res}    30.76
{txt}       Model {c |} {res} 121384.929         9  13487.2143   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 120145.987       274  438.489003   {txt}R-squared       ={res}    0.5026
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4862
{txt}       Total {c |} {res} 241530.915       283  853.466132   {txt}Root MSE        =   {res}  20.94

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             demtherm{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t2vt1 {c |}
{space 9}Treatment 2  {c |}{col 23}{res}{space 2}-.9021657{col 35}{space 2} 4.311835{col 46}{space 1}   -0.21{col 55}{space 3}0.834{col 63}{space 4}-9.390701{col 76}{space 3}  7.58637
{txt}{space 21} {c |}
{space 13}democrat {c |}
{space 12}Democrat  {c |}{col 23}{res}{space 2} 39.17895{col 35}{space 2} 3.869471{col 46}{space 1}   10.13{col 55}{space 3}0.000{col 63}{space 4} 31.56128{col 76}{space 3} 46.79663
{txt}{space 21} {c |}
{space 7}t2vt1#democrat {c |}
Treatment 2#Democrat  {c |}{col 23}{res}{space 2} 5.176202{col 35}{space 2} 5.304685{col 46}{space 1}    0.98{col 55}{space 3}0.330{col 63}{space 4}-5.266918{col 76}{space 3} 15.61932
{txt}{space 21} {c |}
{space 18}age {c |}{col 23}{res}{space 2}-.0636275{col 35}{space 2} .0990474{col 46}{space 1}   -0.64{col 55}{space 3}0.521{col 63}{space 4}-.2586181{col 76}{space 3} .1313631
{txt}{space 18}edu {c |}{col 23}{res}{space 2} 1.755945{col 35}{space 2} 1.316303{col 46}{space 1}    1.33{col 55}{space 3}0.183{col 63}{space 4}-.8354063{col 76}{space 3} 4.347297
{txt}{space 15}female {c |}{col 23}{res}{space 2} 6.986772{col 35}{space 2} 2.564019{col 46}{space 1}    2.72{col 55}{space 3}0.007{col 63}{space 4}  1.93909{col 76}{space 3} 12.03445
{txt}{space 16}black {c |}{col 23}{res}{space 2} 7.221662{col 35}{space 2} 5.662012{col 46}{space 1}    1.28{col 55}{space 3}0.203{col 63}{space 4}-3.924912{col 76}{space 3} 18.36824
{txt}{space 17}hisp {c |}{col 23}{res}{space 2} .0158371{col 35}{space 2} 5.820858{col 46}{space 1}    0.00{col 55}{space 3}0.998{col 63}{space 4}-11.44345{col 76}{space 3} 11.47512
{txt}{space 16}asian {c |}{col 23}{res}{space 2}-2.596286{col 35}{space 2} 4.685585{col 46}{space 1}   -0.55{col 55}{space 3}0.580{col 63}{space 4}-11.82061{col 76}{space 3} 6.628037
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 15.34333{col 35}{space 2} 7.869166{col 46}{space 1}    1.95{col 55}{space 3}0.052{col 63}{space 4}-.1483835{col 76}{space 3} 30.83504
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using murphyrobusth3.doc, append
{txt}{stata `"shellout using `"murphyrobusth3.doc"'"':murphyrobusth3.doc}
{browse `"/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Tables"' :dir}{com} : {txt}{stata `"seeout using "murphyrobusth3.txt""':seeout}

{com}. 
. * Data Audit * 
. 
. ttest reptherm if republican == 1 & duplicate_ip == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     44{col 22} 62.13636{col 34} 3.303626{col 46} 21.91377{col 58} 55.47397{col 70} 68.79876
{txt}Treatmen {c |}{res}{col 12}     51{col 22} 56.27451{col 34} 2.802531{col 46} 20.01407{col 58} 50.64546{col 70} 61.90356
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} 58.98947{col 34} 2.155464{col 46} 21.00886{col 58} 54.70975{col 70}  63.2692
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 5.861854{col 34} 4.303137{col 58}-2.683323{col 70} 14.40703
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  1.3622
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9118         {txt}Pr(|T| > |t|) = {res}0.1764          {txt}Pr(T > t) = {res}0.0882
{txt}
{com}. ttest reptherm if republican == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     40{col 22}   59.725{col 34} 3.378853{col 46} 21.36975{col 58} 52.89062{col 70} 66.55938
{txt}Treatmen {c |}{res}{col 12}     48{col 22} 57.20833{col 34} 2.767267{col 46} 19.17219{col 58} 51.64131{col 70} 62.77536
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     88{col 22} 58.35227{col 34} 2.144958{col 46} 20.12149{col 58} 54.08894{col 70} 62.61561
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 2.516667{col 34}  4.32422{col 58}-6.079598{col 70} 11.11293
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  0.5820
{txt}Ho: diff = 0                                     degrees of freedom = {res}      86

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7190         {txt}Pr(|T| > |t|) = {res}0.5621          {txt}Pr(T > t) = {res}0.2810
{txt}
{com}. 
. ttest reptherm if republican == 1 & duplicate_ip == 0, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     51{col 22} 56.27451{col 34} 2.802531{col 46} 20.01407{col 58} 50.64546{col 70} 61.90356
{txt}Treatmen {c |}{res}{col 12}     46{col 22}  65.3913{col 34} 2.938743{col 46} 19.93153{col 58} 59.47237{col 70} 71.31024
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     97{col 22} 60.59794{col 34} 2.070372{col 46}  20.3908{col 58} 56.48828{col 70} 64.70759
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-9.116795{col 34}  4.06171{col 58}-17.18031{col 70} -1.05328
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -2.2446
{txt}Ho: diff = 0                                     degrees of freedom = {res}      95

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0136         {txt}Pr(|T| > |t|) = {res}0.0271          {txt}Pr(T > t) = {res}0.9864
{txt}
{com}. ttest reptherm if republican == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     48{col 22} 57.20833{col 34} 2.767267{col 46} 19.17219{col 58} 51.64131{col 70} 62.77536
{txt}Treatmen {c |}{res}{col 12}     41{col 22} 64.58537{col 34} 3.145453{col 46} 20.14072{col 58} 58.22817{col 70} 70.94256
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     89{col 22} 60.60674{col 34} 2.105044{col 46} 19.85894{col 58} 56.42341{col 70} 64.79007
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-7.377033{col 34} 4.173086{col 58}-15.67149{col 70} .9174279
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.7678
{txt}Ho: diff = 0                                     degrees of freedom = {res}      87

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0403         {txt}Pr(|T| > |t|) = {res}0.0806          {txt}Pr(T > t) = {res}0.9597
{txt}
{com}. 
. ttest demtherm if democrat == 1 & duplicate_ip == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     91{col 22} 63.94505{col 34} 2.544422{col 46} 24.27224{col 58} 58.89012{col 70} 68.99999
{txt}Treatmen {c |}{res}{col 12}     92{col 22} 68.13043{col 34} 2.037408{col 46} 19.54213{col 58} 64.08337{col 70}  72.1775
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    183{col 22} 66.04918{col 34}  1.63079{col 46} 22.06092{col 58} 62.83149{col 70} 69.26687
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -4.18538{col 34} 3.255798{col 58}-10.60958{col 70} 2.238821
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.2855
{txt}Ho: diff = 0                                     degrees of freedom = {res}     181

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1001         {txt}Pr(|T| > |t|) = {res}0.2003          {txt}Pr(T > t) = {res}0.8999
{txt}
{com}. ttest demtherm if democrat == 1 & duplicate_ip == 0 & duplicate_latlong == 0, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     85{col 22}     63.6{col 34} 2.689288{col 46} 24.79401{col 58} 58.25206{col 70} 68.94794
{txt}Treatmen {c |}{res}{col 12}     86{col 22} 67.97674{col 34} 2.136836{col 46}  19.8162{col 58} 63.72814{col 70} 72.22535
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    171{col 22} 65.80117{col 34} 1.718345{col 46} 22.47027{col 58} 62.40913{col 70} 69.19321
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-4.376744{col 34}  3.43042{col 58}-11.14874{col 70} 2.395249
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.2759
{txt}Ho: diff = 0                                     degrees of freedom = {res}     169

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1019         {txt}Pr(|T| > |t|) = {res}0.2038          {txt}Pr(T > t) = {res}0.8981
{txt}
{com}. 
. log close _all
      {txt}name:  {res}SA Study 1 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study1_Murphy/Logs/sa_study1_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2020, 15:20:08
{txt}{.-}
{smcl}
{txt}{sf}{ul off}